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| SCOR-Modell× | Aggregatplanung× | |
|---|---|---|
| Fachgebiet | Produktions- und Betriebsmanagement | Produktions- und Betriebsmanagement |
| Familie | Machine learning | Machine learning |
| Entstehungsjahr≠ | 1996 | 1992 |
| Urheber≠ | Pittiglio, Rabin, Todd & McGrath | Wallace, T. F. |
| Typ≠ | Supply chain reference framework | Demand-supply planning framework |
| Wegweisende Quelle≠ | Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74. link ↗ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ |
| Aliasnamen≠ | — | sales and operations planning, production planning |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | The Supply Chain Operations Reference Model is a standardized framework for supply chain management developed by the Supply Chain Council (now APICS) in 1996. SCOR provides a structured approach to identify, evaluate, and improve supply chain processes across organizations, regardless of industry. It integrates planning, sourcing, manufacturing, delivery, and returns into a coherent operational model. | Aggregate Planning (or Sales & Operations Planning, S&OP) is a collaborative, iterative process that balances demand and supply at a high level—typically grouping products into families and planning over a 3–18 month horizon. Developed formally by Tom Wallace and popularized through APICS, aggregate planning helps organizations align sales forecasts, production capacity, inventory, and workforce to meet demand efficiently while managing costs. It serves as the bridge between strategic business plans and detailed operational execution. |
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